RPM-FED: Relapse Predicting Model for First Episode Depression
Study Details
Study Description
Brief Summary
Major depressive depression(MDD) is an severe public mental disorders. The purpose of current study is using big data analysis based on clinical features and immunochemistry to investigate and establish an relapse predict model for patients with first episode MDD.
Condition or Disease | Intervention/Treatment | Phase |
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N/A |
Detailed Description
Major depressive depression(MDD) is an severe public mental disorders. The purpose of current study is using big data analysis based on clinical features and immunochemistry to investigate and establish an relapse predict model for patients with first episode MDD.
This study includes two steps. Step 1: Big data analysis based on the clinical features and immunochemical figures of 30000 patients with first episode MDD will be conducted to construct a relapse predict model.
Step 2: 300 patients with first episode MDD will be recruited in this step. Physicians prefer to give corresponding treatment recommendation based on the predictive factors to verify this relapse model.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Experimental: Clinical features and medication A group patients with significant high risk of clinical features and medications. |
Other: Clinical features and medication
This group will be suggested to take optimize treatment according to Chinese treatment guidelines.
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Experimental: Psycho-social A group patients with significant high risk of psycho-social problems. |
Other: Psycho-social
This group will be suggested to add on psychotherapy on medical treatment.
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Experimental: immunology A group patients with significant high risk of immune disturbance. |
Other: immunology
This group will be suggested to add on Omega-3 polyunsaturated fatty acid(PUFAs) on medical treatment.
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Experimental: Laboratory abnormality A group patients with significant high risk of Laboratory abnormalities. |
Other: Laboratory abnormality
This group will be suggested to more safety antidepressants.
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Experimental: Comorbidity A group patients with physical or mental disorders comorbidities. |
Other: Comorbidity
This group will be suggested to treat their comorbidities as well as treat MDD.
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Experimental: Treatment as usual Control group. |
Other: Treatment as usual
Patients will accept routine treatments based on psychiatrist experience, not based on the relapse predict model.
Other Names:
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Outcome Measures
Primary Outcome Measures
- HAM-D total score [12 weeks]
The change from baseline to end of study (EOS) in HAM-D total score
Secondary Outcome Measures
- Time to relapse [12 months]
The time to new intervention for an emerging mood episode
Eligibility Criteria
Criteria
Inclusion Criteria:
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Age from 18 to 65 years old;
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Han Chinese;
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Outpatient and inpatient patients;
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Patients met Diagnostic and Statistical Manual of Mental Disorders(DSM-IV-TR) criteria of bipolar I or II disorder, currently depressed, ascertained with the Mini International Neuropsychiatric Interview (MINI)
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Hamilton Depression Scale(HAM-D) total score≥17, HAM-D item 1 (depressed mood) score≥2, and Young Mania Rating Scale(YMRS) total score≤10 at baseline;
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Written informed consent was given;
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Junior high school education and above, with enough audio-visual ability to accomplish the visits;
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Normally resident in one country and had a residential address, able to follow-up.
Exclusion Criteria:
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Bipolar disorder rapid cycling or mixed episode;
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Experienced DSM-IV-TR axis I disorders in the 6 months prior to randomization;
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Severe personality disorder, metal retardation, anorexia/bulimia nervosa;
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Actively suicide ascertained by research psychiatrist or HAM-D item 3 score≥3(suicidality);
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Female patients who were pregnant, planning to be pregnant or breast feeding;
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Severe medical or neurological problems.
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- Shanghai Mental Health Center
Investigators
- Principal Investigator: Jun Chen, M.D., Ph.D, Shanghai Mental Health Center
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- Pending